Fatigue-aware Bandits for Dependent Click Models

22 August 2020

Papers citing "Fatigue-aware Bandits for Dependent Click Models"

7 / 7 papers shown

Title
Modeling Churn in Recommender Systems with Aggregated Preferences Gur Keinan Omer Ben-Porat 72 0 0 09 Feb 2025
The Nah Bandit: Modeling User Non-compliance in Recommendation Systems Tianyue Zhou Jung-Hoon Cho Cathy Wu OffRL 52 0 0 15 Aug 2024
FAN: Fatigue-Aware Network for Click-Through Rate Prediction in E-commerce Recommendation Ming Li Naiyin Liu Xiaofeng Pan Yang Huang Ningning Li Yingmin Su Chengjun Mao Bo Cao 48 4 0 10 Apr 2023
Optimizing Audio Recommendations for the Long-Term: A Reinforcement Learning Perspective Lucas Maystre Daniel Russo Yu Zhao OffRL 49 9 0 07 Feb 2023
Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement Eden Saig Nir Rosenfeld 60 4 0 24 Nov 2022
Product Ranking for Revenue Maximization with Multiple Purchases Renzhe Xu Xingxuan Zhang Yangqiu Song Yafeng Zhang Xiaolong Chen Peng Cui 77 2 0 15 Oct 2022
Modeling Attrition in Recommender Systems with Departing Bandits Omer Ben-Porat Lee Cohen Liu Leqi Zachary Chase Lipton Yishay Mansour 75 12 0 25 Mar 2022